Spatial mapping and analysis of anaemia cases in Gadag district, Karnataka: a GIS-based study

Duragappa Nayak; Aravind Karinagannavar; Prakash Kabbaragi

doi:10.18203/2320-6012.ijrms20260963

Authors

Duragappa Nayak Department of Community Medicine, S. R. Patil Medical college, Hospital and Research center, Badagandi, Karnataka, India
Aravind Karinagannavar Department of Community Medicine, K. H. Patil Institute of medical sciences, Gadag, Karnataka, India
Prakash Kabbaragi Pulmonary Medicine, CHC, Betageri, Gadag, Karnataka, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20260963

Keywords:

Anaemia, Clustering, GIS, Moran’s I., Spatial analysis

Abstract

Background: Anaemia is one of the chronic public health problems in India and it is associated with inequities in healthcare service, nutrition status and socioeconomic status. Knowledge of geographic distribution of anemia can help for the identification of high-risk areas, where focused interventions can be implemented. This study aimed to map and analyse the spatial distribution, clustering patterns and hotspots of laboratory confirmed anaemia cases in the Gadag District.

Methods: A retrospective cross-sectional study on 4,040 cases of laboratory-confirmed anaemia has been carried out using secondary data. Spatial clustering was analysed using the average nearest neighbour (ANN) test; Global and Local Moran's I tested for spatial autocorrelation along with hotspots and cold areas of anaemia patients.

Results: Significant clustering was detected by the ANN test (p<0.001). Different hotspots were identified by using Local Moran's I and Getis-Ord Gi tools mainly in the Shirahatti, Laxmeshwar and Mundargi taluks, whereas Global Moran's I did not detect any significant autocorrelation.

Conclusions: The spatial distribution of anaemia in the Gadag District is non-random, spatially heterogeneous, with well-defined hotspot zones. The use of GIS based surveillance at district level planning will help in early detection and targeted management of anemia.

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References

World Health Organization. Anaemia [Internet]. Geneva: World Health Organization; 2025 Feb 10 [cited 2025 Jul 7]. Available from: https://www.who.int/news-room/fact-sheets/detail/anaemia

Ministry of Health and Family Welfare. India’s Fight Against Anemia – Nourish, Prevent, Protect [Internet]. New Delhi: Press Information Bureau; 2025 Apr 18 [cited 2025 Jul 7]. Report No.: PRID 2122623. Available from: https://www.pib.gov.in/PressReleasePage.aspx?PRID=2122623

National Health Mission. Nutrition Rehabilitation Centers (NRCs) [Internet]. New Delhi: Ministry of Health & Family Welfare; [updated 2025 Jul 2; cited 2025 Jul 7]. Available from: http://nhm.gov.in/index1.php?lang=1&level=3&sublinkid=1448&lid=797

Bhattarai S, Yadav SK, Thapaliya B, Giri S, Bhattarai B, Sapkota S, et al. Contextual factors affecting the implementation of an anemia focused virtual counseling intervention for pregnant women in plains Nepal: a mixed methods process evaluation. BMC Public Health. 2023 Jul 6;23(1):1301. DOI: https://doi.org/10.1186/s12889-023-16195-5

Abioye AI, Hughes MD, Sudfeld CR, Premji Z, Aboud S, Hamer DH, et al. The effect of iron supplementation on maternal iron deficiency anemia does not differ by baseline anemia type among Tanzanian pregnant women without severe iron deficiency anemia. Eur J Nutr. 2023 Mar;62(2):987–1001. DOI: https://doi.org/10.1007/s00394-022-03029-0

Lepanto MS, Rosa L, Cutone A, Conte MP, Paesano R, Valenti P. Efficacy of lactoferrin oral administration in the treatment of anemia and anemia of inflammation in pregnant and non-pregnant women: An interventional study. Front Immunol. 2018 Sep 21;9:2123. DOI: https://doi.org/10.3389/fimmu.2018.02123

Singh SK et al. Spatial heterogeneity and socio-demographic correlates of anaemia among men in India: evidence from the National Family Health Survey (NFHS-5), 2019–21. Int J Equity Health. 2023;22(1):95.

Ghosh S, Thakur M, Acharya S, Maiti R, Kar SS. Spatial distribution and determinants of anaemia among women of reproductive age in India: a spatial analysis using NFHS-5 data. Public Health Nutr. 2024;27(3):526–37.

Bharati S, Pal M, Som S, Bharati P. Socioeconomic determinants and spatial clustering of anaemia among women in India: insights from spatial epidemiology. Soc Sci Med. 2021;282:114123.

World Health Organization. Anaemia: key facts [Internet]. Geneva: WHO; 2023 [cited 2025 Jul 7]. Available from: https://www.who.int/news-room/fact-sheets/detail/anaemia

Chourasia A, Pandey CM, Mishra RM. Spatial pattern and determinants of anaemia among adolescent girls and women in India: a geospatial analysis. BMC Public Health. 2022;22(1):1743.

Mishra D, Sahoo U, Das S, Dash A. Spatial clustering and determinants of anaemia among pregnant women in India: a district-level analysis of NFHS-5. BMC Pregnancy Childbirth. 2023;23(1):52.

Patra S, Singh RK. Spatial clustering and determinants of childhood anaemia in India: a multilevel analysis. Clin Epidemiol Glob Health. 2021;10:100691.